Drilling Detection with Machine Learning Part 2: Segmentation Starter Kit
Geospatial Analyst Brendan Jarrell explains, step-by-step, how to develop a machine learning model to detect oil and gas well pads from satellite imagery.
This is the second post in a 3-part blog series describing SkyTruth’s effort to automate the detection of oil and gas well pads around the world using machine learning. This tool will allow local communities, conservationists, researchers, policymakers and journalists to see for themselves the growth of drilling in the areas they care about.